Enzymatic and detrital influences on the structure, function, and dynamics of spatially-explicit model ecosystems

Authored by John C. Moore, Randall B Boone, Akihiro Koyama, Kirstin Holfelder

Date Published: 2014-01

DOI: 10.1007/s10533-013-9932-3

Sponsors: United States National Science Foundation (NSF)

Platforms: NetLogo

Model Documentation: ODD Pseudocode

Model Code URLs: https://www.comses.net/codebases/4042/releases/1.0.0/

Abstract

We developed agent-based models patterned after the equation-based models developed by Schimel and Weintraub (Soil Biol Biochem 35:549-563, 2003) to explore the influence of microbial-derived extracellular enzymes on carbon (C) dynamics. The models featured spatial arrangements of detritus as either randomly-spaced particles (rain) or as root-like structures (root), detritus input intervals (continuous vs. pulsed) and rates (0-5,000 units in 500 unit intervals), trophic structures (presence or absence of predators preying on microbes), and extracellular enzymes with different half-lives (1, 10, 100, and 1,000 time steps). We studied how these features affected C dynamics and model persistence (no extinctions). Models without predators were more likely to persist than those with predators, and their C dynamics could be explained with energetics-based arguments. When predators were present, two of the four model configurations-root-continuous and rain-pulsed-were more likely to persist. The root-continuous models were more likely to persist at lower detritus input rates (500-3,500 units), while the rain-pulsed models were more likely to persist at intermediate detritus input rates (2,000-3,500 units). For both these model configurations, shorter extracellular enzyme half-lives increased the likelihood of persistence. Consistent with the results of Schimel and Weintraub (Soil Biol Biochem 35:549-563, 2003), C dynamics was governed by extracellular enzyme production activity and loss. Our results demonstrated that extracellular enzyme control of C dynamics depends on the spatial arrangement of resources, the input rate and input intervals of detritus and trophic structure.

Tags

Agent-based model Spatial distribution Enzymes Soil food web Trophic structure